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Positioning and Data Acquisition

Knowledge of the unique geometric and thematic properties of geospatial data, the factors that affect data quality, and data production technologies. Includes data collection, data capture methods and technologies used to collect georeferenced observations and measurements.

Critical Work Functions

  • Use specialized geospatial software to transform ellipsoid, datum, and/or map projection to georegister one set of geospatial data to another
    • Geocode a list of address-referenced locations to map data encoded with geographic coordinates and attributed with address ranges
      • Discuss examples of systematic and unsystematic land partitioning systems in the U.S. and their implications for land records
        • Recognize that land records are administered differently around the world
          • Explain the distinction between a property boundary and its representations, such as deed lines, lines on imagery, boundary depictions in cadastral (land records) databases
            • Plot a legal boundary description from a deed or plat
              • Design an integrated measurement system solution for acquiring and processing geospatial data
                • Identify sampling strategies for field data collection, including systematic, random, and stratified random sampling, and describe circumstances favorable to each
                  • Explain how spatial autocorrelation influences sampling strategies and statistics
                    • Perform requirements analysis for remotely sensed data acquisition using resolution concepts
                      • Explain the concept of "bit depth" and its implications for remotely-sensed image data
                        • Plan a remotely sensed data acquisition mission, including specifying an appropriate sensor and platform combination suited for particular project requirements
                          • Illustrate the differences between ellipsoidal (or geodetic) heights, geoidal heights, and orthometric elevation in relation to GNSS
                            • Differentiate between Real time Precise Positioning Service (PPS) and Real time Standard Positioning Service (SPS)
                              • Perform GNSS data post-processing (such as National Geodetic Survey’s Online Positioning Service) and real time (such as Real Time Kinematic)
                                • Collect and integrate carrier phase (survey grade) GNSS positions and associated attribute data with other geospatial data sets
                                  • Explain GNSS data quality issues, such as multipath, PDOP, and signal-to-noise ratio
                                    • Explain major GNSS error sources, such as ionospheric delay, clock error, ephemerides, and satellite health
                                      • Produce an orthoimage data product with geometric accuracy suitable for project requirements
                                        • Explain aerotriangulation
                                          • Produce a metadata document that conforms to a geospatial metadata standard
                                            • Understand how to conduct primary research and implications of data privacy and confidentiality
                                              • Describe how textual information can be harvested and geocoded from social media sites
                                                • Explain the process of acquiring and integrating large and heterogeneous datasets (spatial or nonspatial)
                                                  • Explain how a mobile device calculates location coordinates (e.g., GNSS, triangulation, trilateration, etc.)
                                                    • Compare differential GNSS and autonomous GNSS
                                                      Technical Content Areas

                                                      : Headings correspond to select knowledge areas identified in the first edition of the GIS&T Body of Knowledge (UCGIS 2006).
                                                      • Geospatial Data
                                                        • Earth Geometry
                                                        • Land Partitioning Systems, including metes and bounds, USPLS, and long lots
                                                        • Georeferencing Systems, including coordinate systems
                                                        • Datums
                                                        • Map Projections
                                                        • Data Quality
                                                        • Land Surveying
                                                        • Global Navigation Satellite System
                                                        • Field Data Collection
                                                        • Photogrammetry
                                                        • Remote Sensing
                                                        • Metadata